Operations | Monitoring | ITSM | DevOps | Cloud

Microsoft’s Azure Synapse is a cloud-based analytics service that transforms how organizations analyze and visualize large datasets in real-time for better decision-making. To maximize its benefits, effective cost management is crucial, emphasizing the importance of “Azure Synapse cost optimization.” This analytics powerhouse accelerates insight across data warehouses and big data systems by integrating SQL and Spark technologies, along with tools like Data Explorer and Pipelines.

Amazon Elastic Kubernetes Service (EKS) has revolutionized the way organizations deploy, manage, and scale containerized applications using Kubernetes. However, optimizing costs on EKS infrastructure remains a challenge for many. Enter Karpenter, a Kubernetes-native node autoscaler designed to improve resource efficiency.

2023 at incident.io was a year to remember. While it's easy to be cyclical about proclaiming that every year was better than the last, a few things stand out that made 2023 truly a year for the books. TL;DR, a lot happened! Especially when you consider that a lot of things didn't make the list above. So as we turn the page to 2024, we wanted to take a moment to reflect on the transformative year that was 2023, not only for us but our customers as well.

Internal Developer Platform is a trendy concept in the Platform Engineering world that solves clear problems you might have already faced. In this article, I will define what's an Internal Developer Platform, and I assume you're at least familiar with concepts like DevOps and Platform Engineering, but don't worry - I won't assume too much. The goal is to ensure we're all on the same page when discussing Internal Developer Platforms. So let's go :)

Kubernetes (also known as k8s or “kube”) is an open source container orchestration platform that automates many of the manual processes involved in deploying, managing, and scaling containerized applications.

Monitoring your IoT devices provides insights into their usage patterns, environmental conditions, and user behaviors. This information can be leveraged to optimize device performance, improve user experiences, and develop better-targeted services or products. By analyzing patterns and trends in device data, it's possible to implement predictive maintenance strategies, scheduling repairs or replacements before a device completely fails, which will reduce downtime and maintenance costs.